Large-Scale Optimization with Applications: Part I: Optimization in Inverse Problems and Design
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1997
|
| Schriftenreihe: | The IMA Volumes in Mathematics and its Applications
92 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT!!! Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from |
| Beschreibung: | 1 Online-Ressource (XV, 204 p) |
| ISBN: | 9781461219620 9781461273578 |
| ISSN: | 0940-6573 |
| DOI: | 10.1007/978-1-4612-1962-0 |
Internformat
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| 245 | 1 | 0 | |a Large-Scale Optimization with Applications |b Part I: Optimization in Inverse Problems and Design |c edited by Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, Fadil N. Santosa |
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| 500 | |a Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT!!! Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from | ||
| 650 | 4 | |a Mathematics | |
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| 650 | 4 | |a Mathematik | |
| 700 | 1 | |a Coleman, Thomas F. |e Sonstige |4 oth | |
| 700 | 1 | |a Conn, Andrew R. |e Sonstige |4 oth | |
| 700 | 1 | |a Santosa, Fadil N. |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Biegler, Lorenz T. |
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| dewey-full | 515.64 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 515 - Analysis |
| dewey-raw | 515.64 |
| dewey-search | 515.64 |
| dewey-sort | 3515.64 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-1962-0 |
| format | Electronic eBook |
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| id | DE-604.BV042419943 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:05Z |
| institution | BVB |
| isbn | 9781461219620 9781461273578 |
| issn | 0940-6573 |
| language | English |
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| series2 | The IMA Volumes in Mathematics and its Applications |
| spelling | Biegler, Lorenz T. Verfasser aut Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design edited by Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, Fadil N. Santosa New York, NY Springer New York 1997 1 Online-Ressource (XV, 204 p) txt rdacontent c rdamedia cr rdacarrier The IMA Volumes in Mathematics and its Applications 92 0940-6573 Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient simulation packages. Many of these simulators, which can run on small workstations, can capture the complicated behavior of the physical systems they are modeling, and have become commonplace tools in engineering and science. There is a great desire to use them as part of a process by which measured field data are analyzed or by which design of a product is automated. A major obstacle in doing precisely this is that one is ultimately confronted with a large-scale optimization problem. This volume contains expository articles on both inverse problems and design problems formulated as optimization. Each paper describes the physical problem in some detail and is meant to be accessible to researchers in optimization as well as those who work in applied areas where optimization is a key tool. What emerges in the presentations is that there are features about the problem that must be taken into account in posing the objective function, and in choosing an optimization strategy. In particular there are certain structures peculiar to the problems that deserve special treatment, and there is ample opportunity for parallel computation. THIS IS BACK COVER TEXT!!! Inverse problems and optimal design have come of age as a consequence of the availability of better, more accurate, and more efficient, simulation packages. The problem of determining the parameters of a physical system from Mathematics Systems theory Numerical analysis Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Numerical Analysis Operation Research/Decision Theory Mathematik Coleman, Thomas F. Sonstige oth Conn, Andrew R. Sonstige oth Santosa, Fadil N. Sonstige oth https://doi.org/10.1007/978-1-4612-1962-0 Verlag Volltext |
| spellingShingle | Biegler, Lorenz T. Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design Mathematics Systems theory Numerical analysis Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Numerical Analysis Operation Research/Decision Theory Mathematik |
| title | Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design |
| title_auth | Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design |
| title_exact_search | Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design |
| title_full | Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design edited by Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, Fadil N. Santosa |
| title_fullStr | Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design edited by Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, Fadil N. Santosa |
| title_full_unstemmed | Large-Scale Optimization with Applications Part I: Optimization in Inverse Problems and Design edited by Lorenz T. Biegler, Thomas F. Coleman, Andrew R. Conn, Fadil N. Santosa |
| title_short | Large-Scale Optimization with Applications |
| title_sort | large scale optimization with applications part i optimization in inverse problems and design |
| title_sub | Part I: Optimization in Inverse Problems and Design |
| topic | Mathematics Systems theory Numerical analysis Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Numerical Analysis Operation Research/Decision Theory Mathematik |
| topic_facet | Mathematics Systems theory Numerical analysis Mathematical optimization Operations research Calculus of Variations and Optimal Control; Optimization Systems Theory, Control Numerical Analysis Operation Research/Decision Theory Mathematik |
| url | https://doi.org/10.1007/978-1-4612-1962-0 |
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